Triple
T35527067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Lytle |
E1026697
|
entity |
| Predicate | received |
P1704
|
FINISHED |
| Object |
UFC Knockout of the Night bonus awards
The UFC Knockout of the Night bonus awards were performance-based cash bonuses given to fighters who delivered the most impressive knockout finishes at UFC events before being replaced by the Performance of the Night system.
|
E2145823
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UFC Knockout of the Night bonus awards | Statement: [Chris Lytle, received, UFC Knockout of the Night bonus awards]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UFC Knockout of the Night bonus awards Triple: [Chris Lytle, received, UFC Knockout of the Night bonus awards]
Generated description
The UFC Knockout of the Night bonus awards were performance-based cash bonuses given to fighters who delivered the most impressive knockout finishes at UFC events before being replaced by the Performance of the Night system.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f797ce98548190936030999f601939 |
completed | May 3, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3852e7f2c08190900446e5cc7f6aad |
completed | June 21, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_6a3853a42cc08190a7aaadb52b0a2893 |
completed | June 21, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3854efb9dc8190af96eba84b8b0bc1 |
completed | June 21, 2026, 9:17 p.m. |
Created at: May 3, 2026, 4:04 p.m.